Hypothesis Test of gender differences

II. In a sample of 664 patients who received this training, suppose that 47 showed reduced allergic reactions and 17 showed increased allergic reactions. Are these results sufficient to conclude that the self hypothesis has a significant effect. Assume that increasing and decreasing allergic reactions are equally likely if the training has no effect. Use alpha = 0.05.

III. Gender differences in dream content are well documented (see Winget & Kramer, 1979). Suppose a researcher studies aggression content in the dreams of men and women. Each participant reports his or her most recent dream. Then each dream is judged by a panel of experts to have low, medium, or high aggression content. The observed frequencies are shown in the following matrix:

Low Medium High

Gender Female 18 4 2

Male 4 17 15

Is there a relationship between gender and the aggression content of dreams? Test with alpha = 0.01.

Critical Value and Decision Rule:
Since the alternate hypothesis is given as H_1:p>0.5, this is an upper-tailed test.
The critical value of z for an upper tailed test of proportion for a significance level of 0.05 ...

Solution Summary

This solution is comprised of a detailed explanation of the various aspects of Hypothesis Tests as they pertain to the given problems. Supplemented with Interactive EXCEL sheet, the solution provides students with a clear perspective of the calculations and underlying concepts.

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BSc, Banaras Hindu University

MSc, Indian Institute of Technology - Roorkee (I.I.T.-ROORKEE)

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"Thank you so much. I appreciate your help. for the above. Now do you think you can come up with the solutions for the assignment below. If so I will post it for you. I need it by week Wednesday.For 15 credits if you can do it.
The purpose of this project is to give you the opportunity to formulate research questions, run the analyses, and interpret the results of the statistics. The database will be attached as an SPSS file for you
Please read through the entire instructions before beginning.
The project is organized into three sections
I. The research scenario—to provide the context for the data. Please note that this is “content-neutral”, i.e., that it does not refer to a specific discipline or field.
II. The codebook—this identifies the variables (names, labels, and measurement scale) in the database.
III. The project instructions—for completing the project. Be sure to read each question carefully and answer each question completely.
I. Research Scenario:
An organization wants to know if participants with varying levels of expertise (professionals, paraprofessionals, and nonprofessionals) improve their knowledge after completing a training program.
The organization collected demographic information: gender, age, type of training (professional, paraprofessional, or nonprofessional), location of the worksite (on-site or off-site) and years of experience.
A pretraining test of knowledge, a training program, and post-training test of knowledge was developed. Participants were tested, then participated in the three-week training program, and then were tested again.
The dataset also includes (1) a measure of participant confidence in knowledge and (2) a certification exam score.
The data are discipline-neutral. Therefore, part of your final project is to create a context for the research that is associated with your discipline or area of interest.
II. Codebook
Variable Information
Variable Label Measurement Scale Category Name
ID N/A N/A N/A
Gender Gender Nominal 1 = Male
2 = Female
age Age in Years Ratio
qualification Professional Qualification Nominal 1 = Professional
2 = Paraprofessional
3 = Nonprofessional
worksite Location of Work Nominal 1 = On-Site
2 = Off-Site
knowledge1 Level of knowledge before Training Interval N/A
knowledge2 Level of knowledge after Training Interval N/A
years Years of Experience Ratio N/A
confidence Confidence in knowledge Interval N/A
exam Certification exam Interval N/A
III. Project Instructions
Overview
Your task is to review the dataset, formulate a context, and then use your knowledge of statistics to answer the research questions and test hypotheses that will help the organization evaluate the effectiveness of the program.
Part I. Create your context.
Using the research scenario and variables identified in the codebook, create a “story” that describes the purpose and focus of the study. In a few short paragraphs describe the intent of your investigation in the form of a problem background and purpose statement.
Part II. Describe your sample.
Generate and interpret descriptive statistics of central tendencies, variability, skewness, and kurtosis for all quantitative variables and generate frequency tables for all categorical variables. Conclude with a paragraph summarizing the demographic characteristics of this sample, including whether or not the assumption of normality appears to be satisfied for the variables and why or why not.
Part III. Describe relationships among the variables.
Select the variables that are measured on interval or ratio scales or are dichotomous. Create a correlation matrix. Identify and discuss the strongest and weakest correlations.
Part IV. Answer FIVE of the seven following research questions.
Based on the research scenario and the data, formulate the appropriate alternative and null hypotheses, conduct a proper analysis, and interpret the results for each of the following.
1. Are on-site workers more knowledgeable than off-site workers before the training begins? Asked another way, what is the difference in knowledge between on-site and off-site workers before they take the training (i.e., preintervention knowledge)?
2. Does participants’ knowledge increase as a result of going through the training?
3. Do participants of different qualifications (professional, paraprofessional, and nonprofessional) perform differently on the certification exam? Which group performs best?
4. What is the effect of gender and worksite location (on- or off-site) on level of confidence? In other words:
a. Are men or women more confident?
b. Does type of worksite experience impact confidence?
c. Is there an interaction between gender and worksite in their effect on confidence?
5. Which group shows the greatest improvement in learning (from before to after the intervention)—professionals, paraprofessionals, or non-professionals?
6. Does age have an impact (i.e., predict) performance on the certification exam?
7. In addition to age, do any of the other variables (years of experience or confidence) improve the ability to predict performance on the certification exam?
Part V. Summarize your findings.
Synthesize the results of your five analyses. Include a brief summary of the sample characteristics and the major findings. Interpret the findings so that the organization’s leaders will have an understanding of the similarities and differences in knowledge, and how effective the training program is in improving knowledge.
I will compensate you an extra 3 credits above the 15 if you can do but you need to let me know soon so i can decide to open it for everyone.
Many thanks
"

"This solution is perfect. Thank you so much for the quick turn around time. I've probably learned more from this solution than I have from the entire class. Your work is greatly appreciated."